The cardiac motion correction (CMC) algorithm improves image quality in non-ECG-gated CCTA, with particularly notable benefits for the right coronary artery under high heart rate conditions (≥75 bpm).
Key Findings
Results
At high heart rates (≥75 bpm), the CMC algorithm significantly improved subjective image quality of the right coronary artery compared to the standard algorithm.
Patients were divided into three groups: low HR (≤60 bpm), intermediate HR (60 < HR < 75 bpm), and high HR (≥75 bpm)
Subjective image quality was assessed using a 4-point Likert scale
The difference in subjective image quality of the RCA between STD and CMC reached statistical significance at high HRs (p < 0.05)
76 patients who underwent CCTA for suspected coronary artery disease were retrospectively enrolled
Results
The CMC algorithm significantly improved the interpretability of the right coronary artery at high heart rates compared to the standard algorithm.
Interpretability was one of the subjective image quality metrics assessed
CMC was significantly superior to STD for RCA interpretability at high HRs (p < 0.001)
No mention of significant interpretability differences at low or intermediate heart rates is made in the abstract
All images were reconstructed using both standard (STD) and CMC algorithms for comparison
Results
CMC was significantly superior to the standard algorithm with respect to vessel sharpness of the right coronary artery at high heart rates.
Vessel sharpness was one of the objective image quality metrics assessed alongside SNR and CNR
At high HRs, CMC was significantly superior to STD for RCA vessel sharpness (p < 0.001)
This finding was specific to the high heart rate group (HR ≥75 bpm)
Results
No statistically significant differences were observed between the CMC and standard algorithms in terms of signal-to-noise ratio (SNR) or contrast-to-noise ratio (CNR).
SNR and CNR were assessed as objective image quality metrics across all heart rate groups
No statistically significant differences were found between STD and CMC for SNR or CNR (p > 0.05)
This finding suggests CMC's benefit is specific to motion-related image quality parameters rather than general noise characteristics
Methods
The study design involved retrospective reconstruction of all images with both standard and CMC algorithms in a non-ECG-gated CCTA setting.
76 patients were retrospectively enrolled
All patients underwent CCTA for suspected coronary artery disease
Images were reconstructed using both STD and CMC algorithms, allowing direct within-patient comparison
The study specifically evaluated non-ECG-gated CCTA, which is more susceptible to cardiac motion artifacts than ECG-gated protocols
What This Means
This research suggests that a specialized cardiac motion correction (CMC) software algorithm can meaningfully improve the quality of coronary CT angiography (CCTA) images, particularly for a vessel called the right coronary artery (RCA) in patients with faster heart rates. CT scans of the heart arteries are difficult to perform because the heart is constantly moving, and this movement can blur or distort the images, making it harder for doctors to evaluate the arteries. The study looked at 76 patients who had heart CT scans without a special heart-rate-synchronized technique (called ECG gating), and compared images processed with a standard reconstruction method versus the newer motion correction algorithm.
The results showed that when patients had heart rates of 75 beats per minute or higher, the CMC algorithm produced significantly sharper and more interpretable images of the right coronary artery compared to the standard approach. Importantly, these improvements were seen in measures of image clarity and vessel sharpness, but not in general noise-related measures (SNR and CNR), suggesting the algorithm specifically targets motion blur rather than altering overall image noise characteristics. The right coronary artery appears to benefit most, likely because it moves more during the heartbeat than other coronary arteries.
This research suggests that applying a motion correction algorithm during image reconstruction could help radiologists and cardiologists better evaluate patients' coronary arteries, especially those who have faster heart rates and cannot be slowed down with medication prior to scanning. This could be particularly valuable in clinical situations where controlling heart rate before a scan is not feasible, potentially improving diagnostic accuracy without requiring additional radiation exposure or invasive procedures.
Wang M, Tao L, Li W, Cao Y, Wu H, Zhang Z. (2026). Motion correction algorithm improves right coronary artery image quality at heart rates > 75 bpm in non-ECG-gated coronary CT angiography.. Journal of applied clinical medical physics. https://doi.org/10.1002/acm2.70803